Results 171 to 180 of about 1,422,486 (311)

Interactions between Molten High‐Silicon Electrical Steels and Carbon‐Bonded MgO Refractories Based on Recyclates

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert   +7 more
wiley   +1 more source

Structural projections to the nucleus accumbens link to impulsive components of human risk preference. [PDF]

open access: yesImaging Neurosci (Camb)
Tisdall L   +7 more
europepmc   +1 more source

Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey [PDF]

open access: yes
This paper presents new evidence on the distribution of risk attitudes in the population, using a novel set of survey questions and a representative sample of roughly 22,000 individuals living in Germany.
Armin Falk   +5 more
core  

Risk Tolerance Questions to Best Determine Client Portfolio Allocation Preferences [PDF]

open access: green, 2012
Michael Guillemette   +2 more
openalex  

PBF‐LB/M of Ti‐6Al‐4V: High‐Pressure Solution Treatment and Aging for Applications in a Sustainable Aerospace

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing (AM) allows great geometric freedom for lightweight components. As parts are progressively optimized exploiting potentials in AM leading in smaller material cross sections, high pressure solution treating and aging (STA) treatments show an enormous potential for strongly improving material properties.
Mika León Altmann   +4 more
wiley   +1 more source

How people know their risk preference. [PDF]

open access: yesSci Rep, 2020
Arslan RC   +5 more
europepmc   +1 more source

OPTIMAL RISK MANAGEMENT, RISK AVERSION, AND PRODUCTION FUNCTION PROPERTIES [PDF]

open access: yes
For production risk with identified physical causes, the nature of risk, production characteristics, risk preference, and prices determine optimal input use.
Loehman, Edna T., Nelson, Carl H.
core   +1 more source

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